OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction. - Keshav Kolluru; Vaibhav Adlakha; Samarth Aggarwal; Mausam; Soumen Chakrabarti (EMNLP (1), 2020)

Knowledge Base Inference for Regular Expression Queries. - Vaibhav Adlakha; Parth Shah; Srikanta Bedathur; Mausam (CoRR, 2020)

Regex Queries over Incomplete Knowledge Bases. - Vaibhav Adlakha; Parth Shah; Srikanta J. Bedathur; Mausam (AKBC, 2021)

TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching. - Vaibhav Adlakha; Shehzaad Dhuliawala; Kaheer Suleman; Harm de Vries; Siva Reddy (CoRR, 2021)

Image Retrieval from Contextual Descriptions. - Benno Krojer; Vaibhav Adlakha; Vibhav Vineet; Yash Goyal; Edoardo Maria Ponti; Siva Reddy (ACL (1), 2022)

Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining. - Andreas Madsen; Nicholas Meade; Vaibhav Adlakha; Siva Reddy (EMNLP (Findings), 2022)

The Seventh Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI'22). - Gustavo Penha; Svitlana Vakulenko; Ondrej Dusek; Leigh Clark; Vaishali Pal; Vaibhav Adlakha (SIGIR, 2022)

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching. - Vaibhav Adlakha; Shehzaad Dhuliawala; Kaheer Suleman; Harm de Vries; Siva Reddy (Trans. Assoc. Comput. Linguistics, 2022)

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. - Parishad BehnamGhader; Vaibhav Adlakha; Marius Mosbach; Dzmitry Bahdanau; Nicolas Chapados; Siva Reddy (CoRR, 2024)

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering. - Vaibhav Adlakha; Parishad BehnamGhader; Xing Han Lù; Nicholas Meade; Siva Reddy (Trans. Assoc. Comput. Linguistics, 2024)

Report on the 8th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI 2024) at CHIIR 2024. - Alexander Frummet; Andrea Papenmeier; Maik Fröbe; Johannes Kiesel; Vaibhav Adlakha; Norbert Braunschweiler; Mateusz Dubiel; Satanu Ghosh; Marcel Gohsen; Christin Kreutz; Milad Momeni; Markus Nilles; et al. (SIGIR Forum, 2024)

Understanding the Influence of Synthetic Data for Text Embedders. - Jacob Mitchell Springer; Vaibhav Adlakha; Siva Reddy; Aditi Raghunathan; Marius Mosbach (ACL (Findings), 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

DeepSeek-R1 Thoughtology: Let's about LLM Reasoning. - Sara Vera Marjanovic; Arkil Patel; Vaibhav Adlakha; Milad Aghajohari; Parishad BehnamGhader; Mehar Bhatia; Aditi Khandelwal; Austin Kraft; Benno Krojer; Xing Han Lù; Nicholas Meade; Dongchan Shin; et al. (CoRR, 2025)

BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation. - Christos Tsirigotis; Vaibhav Adlakha; João Monteiro 002; Aaron C. Courville; Perouz Taslakian (CoRR, 2025)